在楠榜省 H. Abdul Moeloek 博士放射装置中开发放射技师绩效评估工具

Sri Soraya, S. Sudiyono, Rini Indrati
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引用次数: 0

摘要

在楠榜省的 Abdul Moeloek 地区综合医院,评估放射技师的工作表现对于确保高质量的放射服务至关重要。目前针对持续专业实践和工作行为的评估工具缺乏明确、客观的指标和目标。本研究采用了研究与开发(R&D)的研究方法,并采用了只进行事后测试的非等效对照组的准实验设计。通过观察、访谈和 FGD 收集数据。进行专家论证和设计改进,然后由 20 名放射技师参与试验。使用校正后的项目与总相关性检验有效性,并使用 Cronbach's alpha 评估可靠性。首先由 3 位专家进行了专家验证测试和设计改进,然后由 20 名放射技师进行了有限的试用,使用校正后的项目与总相关性进行了效度测试。同时,采用 Cronbach's alpha 进行信度检验。所开发的基于指标和目标的工具能够有效、可靠地衡量放射技师的绩效。通过 FGD 进行的专家验证证实了该工具的有效性。有效性测试结果显示了显著性(> 0.05),可靠性测试显示了 Cronbach's alpha 值(> 0.60)。正态性检验显示数据不分布(p 值小于 0.05)。通过 Wilcoxon 检验,比较了新旧工具,发现纪律变量的 Asymp.sig 值(0.000)显著,表明绩效评估有所改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Radiographer Performance Assessment Instruments in the Radiology Installation of Dr. H. Abdul Moeloek Lampung Province
At Abdul Moeloek Regional General Hospital in Lampung Province, evaluating radiographers' performance is crucial for ensuring quality radiology services. The current assessment tools for ongoing professional practice and work behavior lack clear, objective indicators and targets. This research uses research and development (R&D) research methods with a quasi-experimental posttest-only non-equivalent control group design. Data were collected using observation, interviews, and FGD. Expert validation and design improvements are conducted, followed by a trial involving 20 radiographers. Validity is tested using corrected items to total correlation, and reliability is assessed using Cronbach's alpha. Next, expert validation tests and design improvements were carried out by 3 experts, and then a limited trial of 20 RSUDAM radiographers carried out a validity test using corrected items to total correlation. Meanwhile, the reliability test uses Cronbach's alpha. The developed instrument, based on indicators and targets, demonstrates valid and reliable measures of radiographer performance. Expert validation through FGD confirms the instrument's effectiveness. Validity test results indicate significance (> 0.05), and reliability tests show Cronbach's alpha values (> 0.60). Normality tests reveal non-distributed data (p-value < 0.05). The Wilcoxon test, comparing old and new instruments, yields a significant Asymp.sig value (0.000) for the discipline variable, indicating improved performance assessment.
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